NDLI: A Systematic Approach for Solving Large-Scale Problems by Neural Network: Open Refrigerated Display Cases and Droplet Evaporation Problems

Content Provider	Springer Nature Link
Author	Amin, Mazyar Navaz, Homayun K. Kehtarnavaz, Nasser Dabiri, Dana
Copyright Year	2008
Abstract	A systematic approach for solving a large-scale design problem is proposed. The method consists of building a multidimensional test case matrix connecting an output (scalar or vector) to an input vector. Every element of the input vector spans over its possible minimum and maximum values with one or more levels in between. The experimental and validated computational methods are combined to find the output as a function of all permutations of the input variables. The results are used to train a neural network program to perform the proper interpolation for any other expected scenario. The number of required experiments is obtained asymptotically by adding more data to the neural network training set and examining the error. The applicability and feasibility of this approach is shown in two different problems: first, predicting and minimizing the infiltration rate into an open refrigerated display case; and second, predicting the evaporation rate of sessile microdroplets on a nonpermeable surface.
Starting Page	276
Ending Page	287
Page Count	12
File Format	PDF
ISSN	19355130
Journal	Food and Bioprocess Technology
Volume Number	3
Issue Number	2
e-ISSN	19355149
Language	English
Publisher	Springer-Verlag
Publisher Date	2008-12-19
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Neural network Large-scale problem Infiltration rate Refrigerated display case Chemical agent fate Biotechnology Agriculture Chemistry/Food Science Food Science
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Safety, Risk, Reliability and Quality Food Science Process Chemistry and Technology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Multiphase Pore Scale Network Model of Gas Exchange in Apple Fruit

Rapid Detection of Microorganisms Using Image Processing Parameters and Neural Network

Intelligent Estimation of the Canola Oil Stability Using Artificial Neural Networks

Recent Applications of Advanced Control Techniques in Food Industry

Genetic Algorithm–Artificial Neural Network Modeling of Moisture and Oil Content of Pretreated Fried Mushroom

Application of Image Analysis and Artificial Neural Network to Predict Mass Transfer Kinetics and Color Changes of Osmotically Dehydrated Kiwifruit

Effects of Lactic and Acetic Acid on Survival of Salmonella enteritidis During Refrigerated and Frozen Storage of Chicken Meats

Enzymatic Synthesis of Ascorbyl Palmitate in Organic Solvents: Process Optimization and Kinetic Evaluation

Comparing the Effects of Microwave and Conventional Heating Methods on the Evaporation Rate and Quality Attributes of Pomegranate (Punica granatum L.) Juice Concentrate

A Systematic Approach for Solving Large-Scale Problems by Neural Network: Open Refrigerated Display Cases and Droplet Evaporation Problems

Similar Documents

A Multiphase Pore Scale Network Model of Gas Exchange in Apple Fruit

Rapid Detection of Microorganisms Using Image Processing Parameters and Neural Network

Intelligent Estimation of the Canola Oil Stability Using Artificial Neural Networks

Recent Applications of Advanced Control Techniques in Food Industry

Genetic Algorithm–Artificial Neural Network Modeling of Moisture and Oil Content of Pretreated Fried Mushroom

Application of Image Analysis and Artificial Neural Network to Predict Mass Transfer Kinetics and Color Changes of Osmotically Dehydrated Kiwifruit

Effects of Lactic and Acetic Acid on Survival of Salmonella enteritidis During Refrigerated and Frozen Storage of Chicken Meats

Enzymatic Synthesis of Ascorbyl Palmitate in Organic Solvents: Process Optimization and Kinetic Evaluation

Comparing the Effects of Microwave and Conventional Heating Methods on the Evaporation Rate and Quality Attributes of Pomegranate (Punica granatum L.) Juice Concentrate

A Systematic Approach for Solving Large-Scale Problems by Neural Network: Open Refrigerated Display Cases and Droplet Evaporation Problems